预测人类单克隆抗体的药理动力学:使用生理学基础的药理动力学 (PBPK) 建模识别参考新生儿Fc受体 (FcRn) 结合亲缘关系
Salih Benamara1,2, Erik Sjögren3, Florence Gattacceca2
1Translational Medicine Unit, Quantitative Pharmacology, Development Pharmacometrics, Sanofi, Vitry-sur-Seine 94400, France.
ACS pharmacology & translational science
|January 15, 2026
概括
预测单克隆抗体 (mAb) 药理动力学 (PK) 是一个挑战. 这项研究开发了一种使用FcRn受体的通用解离常数 (KdFcRn) 值的标准化方法,改善了早期临床试验中的PK预测.
科学领域:
- 药理动力学和药物开发
- 生物制药科学 生物制药科学
- 计算生物学 计算生物学
背景情况:
- 在药物开发中预测单克隆抗体 (mAb) 药理动力学 (PK) 是复杂的,因为没有标准化的消除预测方法.
- 通过FcRn介导的回收是一种主要的机制,在生理学基础的药理动力学 (PBPK) 模型中影响mAb的消除.
研究的目的:
- 评估人类FcRn离散常数 (KdFcRn) 的通用值的预测性,用于基于机制的mAbs的PK预测.
- 为了建立一个验证的默认KdFcRn值,以改善PK预测.
主要方法:
- 编制了50个静脉注射的mAbs. 的PK概况数据库.
- 在PK-Sim中开发了通用PBPK模型,通过数据匹配估计药物特定的KdFcRn值.
- 使用训练/测试数据分割 (7:3比) 来评估使用中位数KdFcRn值的预测准确性.
主要成果:
- 从训练组中得出1.05μM的药物特异性KdFcRn估计中位数.
- 血暴露 (AUC) 和终端半衰期分别对80%和60%的mAbs进行了0.80-1.25倍的准确预测.
- 测试组中的所有mAbs都显示了AUC和半衰期的0.50-2.00倍内预测误差.
结论:
- 为了在FIH试验中预测线性mAb PK,确定了1.07μM的验证默认KdFcRn值.
- 该研究提供了mAb PBPK模型的综合数据库和早期药物开发的可靠默认参数.
- 这种方法增强了mAb药理动学的机制预测,有助于有效的药物开发.
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